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Relevant bibliographies by topics / Crack location detection

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Academic literature on the topic 'Crack location detection'

Author: Grafiati

Published: 6 September 2023

Last updated: 31 July 2025

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Journal articles on the topic "Crack location detection"

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Kim, Byeong-Cheol, and Byung-Jik Son. "Crack Detection of Concrete Images Using Dilatation and Crack Detection Algorithms." Applied Sciences 13, no. 16 (2023): 9238. http://dx.doi.org/10.3390/app13169238.

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Crack detection in structures is an important and time-consuming element of monitoring the health of structures and ensuring structural safety. The traditional visual inspection of structures can be unsafe and may produce inconsistent results. Thus, there is a need for a method to easily and accurately identify and analyze cracks. In this study, algorithms for automatically detecting the size and location of cracks in concrete images were developed. Cracks were automatically detected in a total of 10 steps. In steps 5 and 9, two user algorithms were added to increase crack detection accuracy,

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Nwosu, D. I., A. S. J. Swamidas, and J. Y. Guigne´. "Dynamic Response of Tubular T-Joints Under the Influence of Propagating Cracks." Journal of Offshore Mechanics and Arctic Engineering 118, no. 1 (1996): 71–78. http://dx.doi.org/10.1115/1.2828804.

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This paper presents an analytical study on the vibration response of tubular T-joints for detecting the existence of cracks along their intersections. The ABAQUS finite element program was utilized for carrying out the analysis. Frequency response functions were obtained for a joint with and without cracks. The joint was modeled with 8-node degenerate shell elements having 5 degrees of freedom per node. Line spring elements were used to model the crack. The exact crack configuration (semielliptical shape, Fig. 5(b)), as observed from numerous experimental fatigue crack investigations at the cr

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Wang, Fei, Xue Zeng Zhao, and Jia Ying Chen. "Detection of Multiple Cracks in Triangular Cantilevers Based on Frequency Measurements." Key Engineering Materials 324-325 (November 2006): 259–62. http://dx.doi.org/10.4028/www.scientific.net/kem.324-325.259.

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Triangular cantilevers are used as small force sensors. Prediction of location and size of multiple cracks from experimental results will be of value to users and designers of cantilever deflection force sensors. We extend a method for prediction of location and size of multiple cracks in rectangular cantilevers to deal with triangular cantilevers in this paper. The cracks are assumed to introduce local flexibility change and are modeled as rotational springs. The beam is divided into a number of segments, and each segment is associated with a damage index, which can be calculated through the

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Khalkar, V., and S. Ramachandran. "The effect of crack geometry on non-destructive fault detection of EN 8 and EN 47 cracked cantilever beam." Noise & Vibration Worldwide 50, no. 3 (2019): 92–100. http://dx.doi.org/10.1177/0957456519834537.

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Since long it has been observed that the size of the crack in structures increases with time, and finally, it may lead to its catastrophic failure. Hence, it is crucial to do the vibration study of cracked structures with regard to vibration-based crack detection and the classification of cracks. So far, vibration-based non-destructive testing method is applied to many spring steel cracked cantilever beams for its possible crack detection. However, the effect of various kinds of practical cracks, that is, V-shaped and U-shaped, on the applicability of these methods has been overlooked. To inve

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Yuan, Yingtao, Zhendong Ge, Xin Su, et al. "Crack Length Measurement Using Convolutional Neural Networks and Image Processing." Sensors 21, no. 17 (2021): 5894. http://dx.doi.org/10.3390/s21175894.

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Fatigue failure is a significant problem in the structural safety of engineering structures. Human inspection is the most widely used approach for fatigue failure detection, which is time consuming and subjective. Traditional vision-based methods are insufficient in distinguishing cracks from noises and detecting crack tips. In this paper, a new framework based on convolutional neural networks (CNN) and digital image processing is proposed to monitor crack propagation length. Convolutional neural networks were first applied to robustly detect the location of cracks with the interference of scr

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Zhao, Yiming, Jing Yan, Yanxin Wang, Qianzhen Jing, and Tingliang Liu. "Porcelain Insulator Crack Location and Surface States Pattern Recognition Based on Hyperspectral Technology." Entropy 23, no. 4 (2021): 486. http://dx.doi.org/10.3390/e23040486.

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A porcelain insulator is an important part to ensure that the insulation requirements of power equipment can be met. Under the influence of their structure, porcelain insulators are prone to mechanical damage and cracks, which will reduce their insulation performance. After a long-term operation, crack expansion will eventually lead to breakdown and safety hazards. Therefore, it is of great significance to detect insulator cracks to ensure the safe and reliable operation of a power grid. However, most traditional methods of insulator crack detection involve offline detection or contact measure

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Ma, Kaifeng, Mengshu Hao, Xiang Meng, Jinping Liu, Junzhen Meng, and Yabing Xuan. "Coarse–Fine Combined Bridge Crack Detection Based on Deep Learning." Applied Sciences 14, no. 12 (2024): 5004. http://dx.doi.org/10.3390/app14125004.

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The crack detection of concrete bridges is an important link in the safety evaluation of bridge structures, and the rapid and accurate identification and detection of bridge cracks is a prerequisite for ensuring the safety and long-term stable use of bridges. To solve the incomplete crack detection and segmentation caused by the complex background and small proportion in the actual bridge crack images, this paper proposes a coarse–fine combined bridge crack detection method of “double detection + single segmentation” based on deep learning. To validate the effect and practicality of fine crack

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H., Nabil H., and Jawad K. Z. "CRACK DETECTION IN A ROTOR DYNAMIC SYSTEM BY VIBRATION MONITORING." Journal of Engineering 16, no. 02 (2010): 5116–28. http://dx.doi.org/10.31026/j.eng.2010.02.26.

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Vibration monitoring is one of the most important techniques which are used to detect the cracks or defects in rotating mechanical systems. To distinguish characteristics of the system response that may lead to the transverse crack in rotating shaft, local asymmetry crack model is used where crack simulated by increasing the flexibility of the shaft and transverse crack in the shaft is introduced.The obtained results showed a decreasing in the resonance shaft speed with increasing the crack depth ratio. The feature is used for diagnostics the crack in the shaft by using the graphed results bet

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Xu, Guoyan, Xu Han, Yuwei Zhang, and Chunyan Wu. "Dam Crack Image Detection Model on Feature Enhancement and Attention Mechanism." Water 15, no. 1 (2022): 64. http://dx.doi.org/10.3390/w15010064.

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Dam crack detection can effectively avoid safety accidents of dams. To solve the problem that the dam crack image samples are not available and the traditional algorithm detects cracks with low accuracy, we provide a dam crack image detection model based on crack feature enhancement and attention mechanism. Firstly, we expand the dam crack image dataset through a generative adversarial network based on crack feature enhancement (Cracks Enhancements GAN, CE-GAN). It can fully expand the dam crack data samples and improve the quality of the training data. Secondly, we propose a crack image detec

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Sethi, Rabinarayan, S. K. Senapati, and Dayal R. Parhi. "Structural Damage Detection by Fuzzy Logic Technique." Applied Mechanics and Materials 592-594 (July 2014): 1175–79. http://dx.doi.org/10.4028/www.scientific.net/amm.592-594.1175.

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In this paper, a novel approach for detecting crack location and its intensity in cantilever beam by Fuzzy logic techniques is established. The analysis has been done by using ANSYS FE software. The fuzzy controller with Bell shaped membership functions are used here which consists of three input parameters are relative deviation of first three natural frequencies and two output parameters are relative crack depth and relative crack location respectively. A series of fuzzy rules are resulting from vibration parameters which are finally used for prediction of crack location and its intensity. T

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Dissertations / Theses on the topic "Crack location detection"

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LaBerge, Kelsen. "Exploratory Research on a Method for Detecting Shaft Radial Cracks: Severity, Location, and Feasibility." Case Western Reserve University School of Graduate Studies / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=case1228403434.

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Zacarias, Alisson Teixeira. "Determinação da variação de rigidez em placas, através da metodologia dos observadores de estados /." Ilha Solteira : [s.n.], 2008. http://hdl.handle.net/11449/94563.

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Orientador: Gilberto Pechoto de Melo<br>Banca: Vicente Lopes Júnior<br>Banca: Raquel Santini Leandro Rade<br>Resumo: Hoje em dia um dos fatores de interesse das indústrias no desenvolvimento de novas técnicas de detecção e localização de falhas é a preocupação com a segurança de seus sistemas, tendo-se a necessidade de supervisão e monitoramento de modo que as falhas sejam detectadas e corrigidas o mais rápido possível. Verifica-se na prática que determinados parâmetros dos sistemas podem variar durante o processo, devido a características específicas ou o desgaste natural de seus componentes.

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Zacarias, Alisson Teixeira [UNESP]. "Determinação da variação de rigidez em placas, através da metodologia dos observadores de estados." Universidade Estadual Paulista (UNESP), 2008. http://hdl.handle.net/11449/94563.

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Made available in DSpace on 2014-06-11T19:27:14Z (GMT). No. of bitstreams: 0 Previous issue date: 2008-04-19Bitstream added on 2014-06-13T18:55:45Z : No. of bitstreams: 1 zacarias_at_me_ilha.pdf: 587117 bytes, checksum: 4a907603292d52ff41cf7df3b7718be5 (MD5)<br>Hoje em dia um dos fatores de interesse das indústrias no desenvolvimento de novas técnicas de detecção e localização de falhas é a preocupação com a segurança de seus sistemas, tendo-se a necessidade de supervisão e monitoramento de modo que as falhas sejam detectadas e corrigidas o mais rápido possível. Verifica-se na prática que de

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LaBerge, Kelsen. "Exploratory research on a method for detecting shaft radial cracks severity, location, and feasibility /." online version, 2009. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=case1228403434.

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Kulkarni, Raghavendra B. "Inverse problems solution using spectral finite element methods." Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5471.

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Inverse problems are very challenging as these problems involve, finding the cause by analyzing the effects. In structural dynamics problems, the effects are normally measured in terms of dynamic responses in structures. These responses which are used to find the cause generally have partial data, embedded with measurement noise, and are truncated. Due to these problems, inverse problems are generally ill-posed in most cases as against forward problems. In this dissertation, we solve five different types of inverse problems involving high-frequency transient loads. All these problems are sol

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Books on the topic "Crack location detection"

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High-Voltage Electrical Inspection of Pipeline Coatings. AMPP, 1998. https://doi.org/10.5006/nace_rp0274-1998.

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Scope Electrical inspection (holiday detection) is a test of the continuity of a protective coating. This type of inspection does not provide information concerning coating resistance, bond, physical characteristics, or the overall quality of the coating, nor is it intended to do so. It will detect bubble or blister type voids, cracks, thin spots, and foreign inclusions or contaminants in the coating that are of such size, number, or conductivity as to significantly lower the electrical resistance or dielectric strength of the coating. Electrical holiday detector: A device for locating discont

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Book chapters on the topic "Crack location detection"

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Sun, Zhaoyun, Lili Pei, Bo Yuan, Yaohui Du, Wei Li, and Yuxi Han. "Pavement Crack Detection and Quantification Based on Scanning Grid and Projection Method." In Lecture Notes in Civil Engineering. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1260-3_24.

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AbstractPavement cracks are difficult to monitor and quantify due to their complex texture and easy to be disturbed by noise and illumination. To solve this problem, a road crack monitoring and quantification method based on vehicle video is proposed. First, a method for extracting morphological features of dynamic road cracks is proposed. Combine automated vehicle-mounted equipment with GPS signals to obtain crack images with location information. Then, a calculation algorithm of crack parameters based on the combination of UK scanning grid and projection method is proposed, which uses the re

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Ding, Mengling, and Kwanghee Won. "Crack Detection and Location Estimation Using a Convolutional Neural Network." In Communications in Computer and Information Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81638-4_15.

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Zhang, Zhifen, Rui Qin, Yujiao Yuan, Wenjing Ren, Zhe Yang, and Guangrui Wen. "Acoustic Emission-Based Weld Crack In-situ Detection and Location Using WT-TDOA." In Transactions on Intelligent Welding Manufacturing. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6502-5_3.

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Aggelis, Dimitrios G., Markus G. R. Sause, Pawel Packo, et al. "Acoustic Emission." In Structural Health Monitoring Damage Detection Systems for Aerospace. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72192-3_7.

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AbstractAcoustic emission (AE) is one of the most promising methods for structural health monitoring (SHM) of materials and structures. Because of its passive and non-invasive nature, it can be used during the operation of a structure and supply information that cannot be collected in real time through other techniques. It is based on the recording and study of the elastic waves that are excited by irreversible processes, such as crack nucleation and propagation. These signals are sensed by transducers and are transformed into electric waveforms that offer information on the location and the t

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Díaz, Jorge G., and Deisy C. Paez. "Identification of Crack Tip Location Using Edge Detection Algorithms and Artificially Generated Displacement Fields." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53021-1_1.

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Ranjan, Rajeev. "Dynamic Behaviour and Crack Detection of a Multi Cracked Rotating Shaft using Adaptive Neuro-Fuzzy-Inference System." In Fuzzy Systems. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1908-9.ch062.

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The presence of crack changes the physical characteristics of a structure which in turn alter its dynamic response characteristics. So it is important to understand dynamics of cracked structures. Crack depth and location are the main parameters influencing the vibration characteristics of the rotating shaft. In the present study, a technique based on the measurement of change of natural frequencies has been employed to detect the multiple cracks in rotating shaft. The model of shaft was generated using Finite Element Method. In Finite Element Analysis, the natural frequency of the shaft was c

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Abbasi Kavoos, Ito Satoshi, and Hashizume Hidetoshi. "Microwave Nondestructive Detection of Longitudinal Cracks in Pipe with U-bend and Prediction of its Location by Signal Processing." In Studies in Applied Electromagnetics and Mechanics. IOS Press, 2008. https://doi.org/10.3233/978-1-58603-896-0-154.

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A circular electromagnetic TE11-mode is used for detection of longitudinal crack in a stainless steel pipe. To show the capability of microwave nondestructive testing for detection of cracks in large and complex piping systems such as steam generator (SG) tube, inspected pipe including U&ndash;bend are examined in this study. The crack location is determined through time of flight (TOF) of the reflected wave and group velocity of electromagnetic signal. The TOF is evaluated in the time domain via Inverse Fast Fourier Transform (IFFT) of the wave spectrum. Then, two different methods of sig

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Li, Xinhai, Qifeng Luo, Qingzhu Zeng, Xinxiong Zeng, Chao Yan, and Kai Zhang. "Composite Insulator Defect Identification Method Using Improved RCNN Convolution Kernel." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde220002.

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The detection of composite insulator defects in substations still relies on manual inspection. In this paper, we propose a detection method for insulator crack shape features by improving the RCNN convolution kernel. The method can meet the premise of insufficient training sample data, but also can get better CNN training effect, and finally achieve accurate crack recognition. In the training phase, the RGB three-channel decomposition method is used to expand the training data set; the median filtering method is used to remove the noise; the improved convolutional kernel is used to train the C

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Ammari, Habib, Elie Bretin, Josselin Garnier, Hyeonbae Kang, Hyundae Lee, and Abdul Wahab. "Backpropagation and Multiple Signal Classification Imaging of Small Inclusions." In Mathematical Methods in Elasticity Imaging. Princeton University Press, 2015. http://dx.doi.org/10.23943/princeton/9780691165318.003.0006.

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This chapter deals with direct imaging of small inclusions and cracks in the static regime, focusing on MUSIC- and migration-type algorithms for detecting the small defects. MUSIC, reverse-time migration, and Kirchhoff migration algorithms take advantage of the smallness of the elastic inclusions. Even though only the two-dimensional case is considered, the same algorithms can be applied in three dimensions. These direct location search algorithms are extended to the general case of linear isotropic elasticity. After describing least-squares algorithms for locating small elastic inclusions, th

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Gu, Jing, and Ying-hui Li. "A Bridge Disease Detection Method Based on Improved YOLOX Algorithm." In Advances in Transdisciplinary Engineering. IOS Press, 2023. http://dx.doi.org/10.3233/atde230084.

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To address the issue of the SPP structure in the YOLOX network being unable to perfectly express the spatial structure of diseases during bridge disease detection, resulting in poor detection performance for irregular and elongated targets, a YOLOX bridge disease detection algorithm based on CS pooling is proposed. The algorithm uses cross-pooling and strip-pooling on the output feature map of the Backbone, and then fuses them, fully combining the local and elongated features as well as the spatial location features of the feature map, improving the expressive ability of the feature map, makin

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Conference papers on the topic "Crack location detection"

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Desjardins, Guy. "Assessment of ILI Tool Performance." In CORROSION 2005. NACE International, 2005. https://doi.org/10.5006/c2005-05164.

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Abstract Industry and Regulators are becoming increasingly aware of the need to assess the performance of ILI tools. This performance consists of a number of separate measures. Probability of Detection is the measure of the tool’s ability to detect an anomaly of a given size and type. Probability of Identification is a measure of the tool’s ability to properly identify the type of anomaly: corrosion, inclusion, or crack. Finally, sizing accuracy is the measure of the tool’s ability to correctly report the size or severity of a given anomaly. In addition, the tool must be able to report the loc

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Uzelac, N. I., H. H. Willems, and O. A. Barbian. "In-Line Inspection Tools for Crack Detection in Gas and Liquid Pipelines." In CORROSION 1998. NACE International, 1998. https://doi.org/10.5006/c1998-98088.

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Abstract A new generation of internal inspection device for the detection of cracks in pipelines is described. Since its commercial introduction in October 1994 the crack detection tool described here has successfully inspected over 2,000 km (1,250 mi.) of operating oil and gas pipelines. The runs were followed by verification excavations at specific locations selected from the collected data. Comparison of the findings with corresponding verifications from excavations illustrate the sensitivity and reliability of the inspection method and the ability of the tool to accurately discriminate bet

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González-Núñez, Miguel A. "Correlation Analysis of Different Corrosion Rates with Acoustic Emission Activity of a Carbon Steel Plate in a 3.5% NaCl Environment." In CORROSION 2014. NACE International, 2014. https://doi.org/10.5006/c2014-4400.

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Abstract The use of acoustic emission (AE) technique for the detection and location of corrosion damages in metallic structures is well known. Systematic tests have been conducted in the laboratory and in the field. The AE method can be used for on-line monitoring to periodically detect corrosion growth during the active corrosion stage or off-line for detection of active corrosion at a specific time. AE signals from the corrosion process on carbon steel are combined high and low frequency signals related to the breakdown and spalling of the oxide film formed during the corrosion process. Alth

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Cross, N. O., and P. A. Collins. "Update on Refinery Inspection Techniques." In CORROSION 1989. NACE International, 1989. https://doi.org/10.5006/c1989-89258.

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Abstract Manually applied ultrasonic (UT) weld flaw evaluation of size and shape requires well trained, experienced operators. Available automated ultrasonic (AUT) systems simplify evaluation by producing a real-time hard copy of the flaw parameters. The same instrumentation can also be applied for thickness mapping of vessels for corrosion surveys. UT flaw evaluation also requires the operator to determine whether a flaw is critical (cracklike) or benign (rounded, irregular) since cracks generally must be removed and repairs made. Since operator flaw evaluation is prone to error, computerized

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Piątek, Bartosz, Maciej Kulpa, Tomasz Siwowski, and Tomasz Howiacki. "Damage detection in post-tensioned concrete bridges using distributed fiber optic sensors." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.2505.

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<p>The paper presents research conducted on two pairs of post-tensioned concrete beams, where one beam served as a reference and the other was intentionally damaged in specified locations. The damages included cracks, chemically accelerated corrosion of strands and voids in the ducts. The main aim of the research was to evaluate the ability of distributed fiber optic sensors (DFOS) to identify local damages. DFOS were embedded inside the concrete cross-section, in pre-made near-surface grooves on the side surfaces of the beams, inside the ducts, and within the prestressing strands. These

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Zhang, Pugen, Shaoping Zhou, and Wenchao Lv. "Detection of Defects in Pipes and Elbows Using Guided Waves." In ASME 2014 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/pvp2014-28512.

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This paper deals with the detection of circumferential cracks of different areas in elbow pipes using the guided waves in mode of L(0,2) which are excited by a piezoelectric transducer. The experimental results show that the circumferential cracks can be located in axial position for bend straight side by the reflected echo of defects in the pipes. The detection sensitivity depends on the location of the cracks in bend areas of the pipes. It is easier to detect cracks in the extradose of elbow while harder to detect those in the other locations of the bend. There is a relationship between the

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Altammar, Hussain, Anoop Dhingra, and Sudhir Kaul. "Use of Wavelets for Mixed-Mode Damage Diagnostics in Warren Truss Structures." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34017.

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The use of the wavelet transform has been gaining widespread acceptance over the last decade as a valuable tool for damage detection. This paper investigates the use of wavelets for detecting mixed-mode, also known as combined mode, cracks in truss structures. The propagation of an open, mixed-mode crack is simulated by using a macroscopic model of damage that is combined with a finite element model of the Warren truss. The natural modes of the truss with varying levels of damage are then used to determine crack location on a specific member of the truss. A damage detection algorithm is develo

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Bonnin-Pascual, F., and A. Ortiz. "Combination of weak classifiers for metallic corrosion detection and guided crack location." In Factory Automation (ETFA 2010). IEEE, 2010. http://dx.doi.org/10.1109/etfa.2010.5641267.

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Cai, Youfa, Xing Fu, Yanna Shang, and Jingxin Shi. "Methods for Long-Distance Crack Location and Detection of Concrete Bridge Structures." In 2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC). IEEE, 2018. http://dx.doi.org/10.1109/icivc.2018.8492764.

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McKee, Kristoffer K., and C. James Li. "Rotor Transverse Crack Detection and Diagnosis Using Embedded Modeling." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-43504.

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This study proposes an embedded modeling methodology for identifying the crack-induced local stiffness reduction in a shaft from its horizontal and vertical vibrations. An embedded model integrating a dynamic model of the rotor system, and the unknown local stiffness reduction in the form of a universal function approximator i.e., neural network, is established. As a FEM model, it can describe rotors of complex geometry. A solution method is then established to identify the local stiffness reduction of the shaft due to a crack. Subsequently, a method is then used to find the location and size

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Reports on the topic "Crack location detection"

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Denowh, Chantz, and David Futch. PR-652-213801-R01 Technology Assessment for Detection of Fatigue Cracks on Heavy Wall Gas Risers. Pipeline Research Council International, Inc. (PRCI), 2022. http://dx.doi.org/10.55274/r0012198.

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The objective of the SPIM-1-2 project was to identify and evaluate the most promising technologies for detecting and sizing fatigue cracks on heavy wall pipelines and risers, preferably without liquid coupling. To complete this evaluation, six full-scale heavy wall pipe samples were fabricated, and a range of fatigue cracks generated in circumferential welds using resonant fatigue. These samples were used in blind test trials on several available inspection technologies in a pull-through testbed. The technologies were evaluated on their ability to detect and size the fatigue cracks generated f

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Ginzel. L51748 Detection of Stress Corrosion Induced Toe Cracks-Advancement of the Developed Technique. Pipeline Research Council International, Inc. (PRCI), 1996. http://dx.doi.org/10.55274/r0010659.

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In the past few years an ongoing problem has existed with stress corrosion cracking (SCC) in pipelines around the world. Several member companies of the Pipeline Research Council International, Inc. have experienced multiple incidents as a result of ERW defects and SCC. TCPL is running a series of hydrostatic tests and trial digs to identify the most severely affected areas. These excavations and failure studies have ascertained that most of the SCC causing failure has been on the outside diameter of long seam welded pipe at the edge of the weld. Defects at that location are known as "Toe-Crac

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Hayford. L51566 Ultralow Frequency Eddy Current Instrument for the Detection and Sizing of Stress Corrosion Cracks. Pipeline Research Council International, Inc. (PRCI), 1988. http://dx.doi.org/10.55274/r0010601.

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Eddy current testing has received only limited application to ferrous materials because the high permeability of the material in combination with the normally high frequency of the eddy current instrument results in a very small depth of penetration of the eddy currents into the material. The objectives of this research program were threefold. The first goal was to develop an eddy current instrument with frequencies low enough to penetrate pipeline steel. The second was to use the new instrument to develop techniques for locating stress corrosion cracks (SCC) on coated pipelines without requir

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Yan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, 2021. http://dx.doi.org/10.17760/d20410114.

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Recent advances in visual sensing technology have gained much attention in the field of bridge inspection and management. Coupled with advanced robotic systems, state-of-the-art visual sensors can be used to obtain accurate documentation of bridges without the need for any special equipment or traffic closure. The captured visual sensor data can be post-processed to gather meaningful information for the bridge structures and hence to support bridge inspection and management. However, state-of-the-practice data postprocessing approaches require substantial manual operations, which can be time-c

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Berney, Ernest, Naveen Ganesh, Andrew Ward, J. Newman, and John Rushing. Methodology for remote assessment of pavement distresses from point cloud analysis. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40401.

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Abstract:

The ability to remotely assess road and airfield pavement condition is critical to dynamic basing, contingency deployment, convoy entry and sustainment, and post-attack reconnaissance. Current Army processes to evaluate surface condition are time-consuming and require Soldier presence. Recent developments in the area of photogrammetry and light detection and ranging (LiDAR) enable rapid generation of three-dimensional point cloud models of the pavement surface. Point clouds were generated from data collected on a series of asphalt, concrete, and unsurfaced pavements using ground- and aerial-ba

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